Training-free approach to constructing ensemble of local experts

Sunbin Lee, Seokho Kang

Abstract: Highlights•We propose a training-free method to construct an ensemble of local experts.•It eliminates the need to access training datasets.•It computes weighted combination of predictions made by individual local experts.•Weights are determined based on uncertainty and out-of-distribution scoring.